Weiwei Deng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
11
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | DUET: Joint Exploration of User-Item Profiles in Recommendation System. | Yue Chen, Yifei Sun, Lu Wang, Fangkai Yang, Pu Zhao, Minjie Hong, Yifei Dong, Minghua He, Nan Hu, Jianjin Zhang, Zhiwei Dai, Yuefeng Zhan, Weihao Han, Hao Sun, Qingwei Lin, Weiwei Deng, Feng Sun, Qi Zhang, Saravan Rajmohan, Dongmei Zhang |
| 2026 | ACL | Too Long, Do Re-weighting for Efficient LLM Reasoning Compression. | Zhong-Zhi Li, Xiao Liang, Zihao Tang, Lei Ji, Peijie Wang, Haotian Xu, Xing W, Haizhen Huang, Weiwei Deng, Yeyun Gong, Zhijiang Guo, Xiao Liu, Fei Yin, Cheng-Lin Liu |
| 2026 | ACL | Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory. | Zihao Tang, Xin Yu, Ziyu Xiao, Zengxuan Wen, Zelin Li, Jiaxi Zhou, Hualei Wang, Haohua Wang, Haizhen Huang, Weiwei Deng, Feng Sun, Qi Zhang |
| 2026 | SIGIR | HybridSparse: An End-to-End Hybrid Framework for Efficient Large-Scale Retrieval. | Haotong Bao, Jianjin Zhang, Weihao Han, Xue Wu, Qi Chen, Dongzhe Jiang, Zhengxin Zeng, Mingzheng Li, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang |
| 2025 | AAAI | MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning. | Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Weizhu Chen, Yunhai Tong |
| 2025 | ACL | Context-DPO: Aligning Language Models for Context-Faithfulness. | Baolong Bi, Shaohan Huang, Yiwei Wang, Tianchi Yang, Zihan Zhang, Haizhen Huang, Lingrui Mei, Junfeng Fang, Zehao Li, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Shenghua Liu |
| 2025 | ACL | GeAR: Generation Augmented Retrieval. | Haoyu Liu, Shaohan Huang, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Weiwei Deng, Feng Sun, Furu Wei, Qi Zhang |
| 2025 | EMNLP | Alleviating Performance Degradation Caused by Out-of-Distribution Issues in Embedding-Based Retrieval. | Haotong Bao, Jianjin Zhang, Qi Chen, Weihao Han, Zhengxin Zeng, Ruiheng Chang, Mingzheng Li, Hao Sun, Weiwei Deng, Feng Sun, Qian Zhang |
| 2025 | EMNLP | NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning. | Yue Fang, Shaohan Huang, Xin Yu, Haizhen Huang, Zihan Zhang, Weiwei Deng, Furu Wei, Feng Sun, Qi Zhang, Zhi Jin |
| 2025 | EMNLP | Token-level Proximal Policy Optimization for Query Generation. | Yichen Ouyang, Lu Wang, Fangkai Yang, Pu Zhao, Chenghua Huang, Jianfeng Liu, Bochen Pang, Yaming Yang, Yuefeng Zhan, Hao Sun, Qingwei Lin, Saravan Rajmohan, Weiwei Deng, Dongmei Zhang, Feng Sun |
| 2025 | EMNLP | ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM. | Lu Wang, Chiming Duan, Pu Zhao, Fangkai Yang, Yong Shi, Xuefeng Luo, Bingjing Xu, Weiwei Deng, Qingwei Lin, Dongmei Zhang |
| 2025 | EMNLP | MAIN: Mutual Alignment Is Necessary for instruction tuning. | Fanyi Yang, Jianfeng Liu, Xin Zhang, Haoyu Liu, Xixin Cao, Yuefeng Zhan, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang |
| 2025 | KDD | LettinGo: Explore User Profile Generation for Recommendation System. | Lu Wang, Di Zhang, Fangkai Yang, Pu Zhao, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Qingwei Lin, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang |
| 2025 | WWW | Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. | Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang |
| 2025 | WWW | Towards Distributionally Balanced End-to-End Generative Retrieval. | Yuxuan Liu, Tianchi Yang, Zihan Zhang, Minghui Song, Haizhen Huang, Weiwei Deng, Feng Sun, Qi Zhang |
| 2024 | AAAI | Text Diffusion with Reinforced Conditioning. | Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang |
| 2024 | ACL | Se²: Sequential Example Selection for In-Context Learning. | Haoyu Liu, Jianfeng Liu, Shaohan Huang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Furu Wei, Qi Zhang |
| 2024 | ACL | HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition. | Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang |
| 2024 | ACL | ResLoRA: Identity Residual Mapping in Low-Rank Adaption. | Shuhua Shi, Shaohan Huang, Minghui Song, Zhoujun Li, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang |
| 2024 | COLING | Calibrating LLM-Based Evaluator. | Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang |
| 2024 | ECCV | IRGen: Generative Modeling for Image Retrieval. | Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Jingdong Wang, Baining Guo |
| 2024 | WWW | OneSparse: A Unified System for Multi-index Vector Search. | Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang |
| 2023 | ACL | To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion. | Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie |
| 2023 | ACL | Pre-training Language Model as a Multi-perspective Course Learner. | Beiduo Chen, Shaohan Huang, Zihan Zhang, Wu Guo, Zhenhua Ling, Haizhen Huang, Furu Wei, Weiwei Deng, Qi Zhang |
| 2023 | ACL | Dual-Alignment Pre-training for Cross-lingual Sentence Embedding. | Ziheng Li, Shaohan Huang, Zihan Zhang, Zhi-Hong Deng, Qiang Lou, Haizhen Huang, Jian Jiao, Furu Wei, Weiwei Deng, Qi Zhang |
| 2023 | ACL | Towards Better Entity Linking with Multi-View Enhanced Distillation. | Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Weiwei Deng, Qi Zhang |
| 2023 | EMNLP | UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation. | Daixuan Cheng, Shaohan Huang, Junyu Bi, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Furu Wei, Weiwei Deng, Qi Zhang |
| 2023 | EMNLP | Democratizing Reasoning Ability: Tailored Learning from Large Language Model. | Zhaoyang Wang, Shaohan Huang, Yuxuan Liu, Jiahai Wang, Minghui Song, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang |
| 2023 | EMNLP | Auto Search Indexer for End-to-End Document Retrieval. | Tianchi Yang, Minghui Song, Zihan Zhang, Haizhen Huang, Weiwei Deng, Feng Sun, Qi Zhang |
| 2023 | ICCV | VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching. | Junyu Bi, Daixuan Cheng, Ping Yao, Bochen Pang, Yuefeng Zhan, Chuanguang Yang, Yujing Wang, Hao Sun, Weiwei Deng, Qi Zhang |
| 2023 | KDD | Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference. | Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang |
| 2023 | KDD | PASS: Personalized Advertiser-aware Sponsored Search. | Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang |
| 2023 | KDD | BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction. | Dong Wang, Kav Salamatian, Yunqing Xia, Weiwei Deng, Qi Zhang |
| 2023 | SIGIR | Multi-Grained Topological Pre-Training of Language Models in Sponsored Search. | Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang |
| 2022 | ICML | HousE: Knowledge Graph Embedding with Householder Parameterization. | Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang |
| 2022 | KDD | Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads. | Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang |
| 2022 | KDD | Learning Supplementary NLP Features for CTR Prediction in Sponsored Search. | Dong Wang, Shaoguang Yan, Yunqing Xia, Kav Salamatian, Weiwei Deng, Qi Zhang |
| 2022 | KDD | Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. | Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie |
| 2022 | SIGIR | Geometric Disentangled Collaborative Filtering. | Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang |
| 2018 | SIGIR | Ad Click Prediction in Sequence with Long Short-Term Memory Networks: an Externality-aware Model. | Weiwei Deng, Xiaoliang Ling, Yang Qi, Tunzi Tan, Eren Manavoglu, Qi Zhang |
| 2017 | ICIS | Leveraging Heterogeneous Information Network for Community Recommendation. | Weiwei Deng, Jian Ma |
| 2017 | WWW | Model Ensemble for Click Prediction in Bing Search Ads. | Xiaoliang Ling, Weiwei Deng, Chen Gu, Hucheng Zhou, Cui Li, Feng Sun |